{"id":"W3035973014","doi":"","title":"Equations to predict antimicrobial minimum inhibitory concentrations in Neisseria gonorrhoeae using molecular antimicrobial resistance determinants","year":2019,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neisseria gonorrhoeae; Antimicrobial; Minimum inhibitory concentration; Microbiology; Antibiotic resistance; Neisseriaceae; Biology; Antibiotics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001627003,0.001079182,0.0006205228,0.0006889855,0.0002729995,0.0006759217,0.0007102466,0.0004844537,0.001615799],"category_scores_gemma":[0.006198305,0.0005074909,0.0009933227,0.0006313972,0.0001535753,0.0003037335,0.0004035339,0.001046673,0.0004562259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462911,"about_ca_system_score_gemma":0.002681731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1516599,"about_ca_topic_score_gemma":0.09018331,"domain_scores_codex":[0.9995579,0.000163817,0.00003737558,0.00009565119,0.00009216528,0.00005303217],"domain_scores_gemma":[0.9978012,0.00145957,0.0002242557,0.00004413087,0.0004381413,0.00003270517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001496952,0.0001495809,0.05138854,0.00009179526,0.0002017622,0.00006413417,0.00007621977,0.891511,0.003403502,0.001169451,0.001480497,0.05031369],"study_design_scores_gemma":[0.00002168911,0.0000754201,0.008777462,0.0000136265,0.0000407992,0.00002549545,0.00001766081,0.9890679,0.0008130629,0.0003359466,0.000796967,0.00001408292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6952912,0.001000324,0.2920047,0.0006470036,0.00009457967,0.0003181391,0.004887744,0.002055225,0.003701093],"genre_scores_gemma":[0.9271669,0.0004569684,0.06549018,0.00008642177,0.00002212723,0.0003016799,0.003364589,0.00009004577,0.003021046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1516599,"threshold_uncertainty_score":0.3015544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260589077722749,"score_gpt":0.2712494228927069,"score_spread":0.2486435321154794,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}